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SmartCityDeepLearning

This repo holds scripts to generate simulation data from SUMO.

Useful python functions for getting TraCI data

The repo uses the current python 3.7.0. Install on your local machine according to your OS of choice.

Description of Map

SUMO generated a map of lower Manhattan to be used in its simulation of pedestrians, trucks, and vehicles along its streets and pathways.

Useful Files

requirements.txt

Current packages used: numpy==1.16.1 pandas==0.24.0 python-dateutil==2.7.5 pytz==2018.9 six==1.12.0

runner.py

Runs the simulation and collects data from edges and traffic light junctions. Data is stored in new directories ~\edge_data and ~\tl_data. There are approximately 11,000 edges and 1,000 traffic light junctions for this SUMO map.

cd into the corresponding folder with a runner.py file after cloning the repo.

To run the runner.py file, run python runner.py

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